Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
1. Publication: Unique Sparse Decomposition of Low Rank Matrices, Joint work with Xin Bing and Yuqian Zhang, IEEE Transactions on Information Theory (Shorter version accepted at NeurIPS 2021)
2. Publication: Optimal Vintage Factor Analysis with Deflation Varimax, Joint work with Xin Bing, Xin He and Yuqian Zhang, The Annals of Statistics
3. Publication: Community Detection for Contextual-LSBM, Joint work with Qiaosheng Zhang and Yuqian Zhang (Shorter version accepted by ISIT 2025)
4. Publication: One-shot Robust Federated Learning of ICA, Joint work with Xin Bing and Yuqian Zhang (Shorter version submitted to NeurIPS 2025)
Research Experience
1. Research Intern at Shanghai AI Lab, May 2024 - Aug 2024, Topic: Community detection for Contextual Label-SBM
2. Machine Learning Intern at Alibaba – Taobao-Mall Group, June 2023 - Aug 2023, Topic: Search-enhanced recommendation systems
3. Research Intern at Futurewei – AI Research, May 2022 - Aug 2022, Topic: Robustness analysis on graph clustering
4. Research Intern at iFlytek – AI Lab, May 2019 - Aug 2019, Topic: Machine translation estimation
Education
1. B.E. in Automation Engineering from University of Electronic Science and Technology of China (UESTC), 2019
2. Ph.D. in Electrical & Computer Engineering from Rutgers University, New Brunswick, expected 2025, advised by Prof. Yuqian Zhang
Background
Research Interests: Theoretical guarantees for statistical methods in machine learning and (Non-convex) optimization problems. Also interested in real-world applications of these methods.
Miscellany
Contact: uestcjd@gmail.com
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